pydantic-models-py Skill
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2. Published by microsoft in skills.
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Database workflows, Data analysis, Includes SKILL.md, Reusable instructions
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2 months ago · MIT license
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What is pydantic-models-py Skill?
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2. Published by microsoft in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Database workflows
- Data analysis
- Database workflows use cases
- Data analysis use cases
Declared skill metadata
- Declared author: Microsoft
- Declared license: MIT
- Source file: .github/plugins/azure-sdk-python/skills/pydantic-models-py/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use pydantic-models-py Skill
- Use it for database workflows.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills
- Skill file: .github/plugins/azure-sdk-python/skills/pydantic-models-py/SKILL.md
What it does
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.
Skill instructions
Pydantic Models Create Pydantic models following the multi-model pattern for clean API contracts. Quick Start Copy the template from assets/template.py and replace placeholders: - {{ResourceName}} → PascalCase name (e.g., Project) - {{resourcename}} → snakecase name (e.g., project) Multi-Model Pattern | Model | Purpose | |-------|---------| | Base | Common fields shared across models | | Create | Request body for creation (required fields) | | Update | Request body for updates (all optional) | | Response | API response with all fields | | InDB | Database document with doctype | camelCase Aliases python from datetime import datetime from pydantic import BaseModel, ConfigDict, Field class MyModel(BaseModel): modelconfig = ConfigDict(populatebyname=True) workspaceid: str = Field(..., alias="workspaceId") createdat: datetime = Field(..., alias="createdAt") Optional Update Fields python class MyUpdate(BaseModel): modelconfig = ConfigDict(populatebyname=True) name: Optional[str] = Field(None
Verified compatibility and discovery
Frequently asked questions
What is pydantic-models-py?
pydantic-models-py is a open-source AI agent skill with Copy skill directory. Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants.
Who is pydantic-models-py best for?
pydantic-models-py is best for reusing agent instructions, scripts, and references, database workflows, data analysis workflows.
How do I install pydantic-models-py?
Install or run pydantic-models-py using Copy skill directory. Check pydantic-models-py for the latest setup command.
Is pydantic-models-py actively maintained?
pydantic-models-py may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
